Apryse is hosting a webinar on September 16 featuring Max Stratmann, VP of Sales, to demonstrate how Scanbot SDK helps capture and clean inputs before OCR, AI, and downstream automation.
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⚡ 0.04 seconds is fast. Fixing bad inputs later isn’t. That’s why better document workflows start at capture. On September 16, join Max Stratmann, VP of Sales at Apryse,…
Company
Apryse
- Industry
- Software Development
- Location
- Denver, US
- Company size
- 501–1,000 employees
About Apryse
Apryse, previously known as PDFTron, takes document solutions to the next level, making work better and life simpler. As a global leader in document processing technology, Apryse gives developers, enterprise customers, and small businesses the tools they need to reach their document goals faster and easier. Apryse’s market-leading SDK drives digital transformation and powers next-generation software applications with dynamic document viewing, annotation, processing, and conversion capabilities, as well as advanced features such as document understanding, data extraction, and redaction. Apryse technology supports all major platforms and dozens of unique file types, including support for PDF, MS Office, and CAD formats. It’s an easier and faster way to build document functionality, making your developers more productive and your users happier. Our product portfolio includes the Apryse developer suite with server, mobile, and web SDKs, iText’s PDF SDK, and low-code integrations. For small business solutions, Xodo and eversign have you covered. For more information, visit apryse.com, and for more information on Xodo, visit xodo.com.
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Latest activity from Apryse
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Presence & Recognition
Apryse Solutions Engineer Pierre-Louis Bonvin is hosting a session titled Garbage In, Garbage Out: Engineering Reliable AI Document Extraction Pipelines on September 14 at 5:00–5:30 PM at Swell Stage.
People
Apryse welcomed CEO Cassidy Smirnow to Europe to spend time with the team.
Presence & Recognition
Apryse Solutions Engineer Luca Mancinelli, PhD spoke with ShiftMag at the WeAreDevelopers World Congress in Berlin about how enterprise documents are structured inputs for AI models
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